SIFT Demo¶
Loi Cheng DGMD S-17 2020 Summer
In [2]:
import cv2
import numpy as np
import matplotlib.pyplot as plt
from Sift_Operations import *
print("Make Sure that both the images are in the same folder")
#x = input("Enter First Image Name: ")
x="1.png"
Image1 = cv2.imread(x)
#y = input("Enter Second Image Name: ")
y="2.png"
Image2 = cv2.imread(y)
Image1_gray = cv2.cvtColor(Image1, cv2.COLOR_BGR2GRAY)
Image2_gray = cv2.cvtColor(Image2, cv2.COLOR_BGR2GRAY)
Image1_key_points, Image1_descriptors = extract_sift_features(Image1_gray)
Image2_key_points, Image2_descriptors = extract_sift_features(Image2_gray)
print('Displaying SIFT Features')
showing_sift_features(Image1_gray, Image1, Image1_key_points);
norm = cv2.NORM_L2
bruteForce = cv2.BFMatcher(norm)
matches = bruteForce.match(Image1_descriptors, Image2_descriptors)
matches = sorted(matches, key=lambda match: match.distance)
matched_img = cv2.drawMatches( Image1, Image1_key_points, Image2, Image2_key_points, matches[:100], Image2.copy())
plt.figure(figsize=(100, 300))
plt.imshow(matched_img)
Out[2]:
